An interesting article published in Huffington post by Arshya Vahabzadeh, M.D.
Harvard Trained Subspecialist Psychiatrist. Director & Researcher, Brain Power. Academic Faculty, Massachusetts General Hospital. Chair, Council on Communications, American Psychiatric Association.
Machine learning already being utilised in healthcare and have great potential in terms of learning from the past data and based on that making predictions. What is Machine Learning?
Machine learning was originally developed through the study of artificial intelligence. It has been defined as giving computers the ability to learn without being explicitly programmed. Well, what does that mean? Machine learning recognizes patterns in data that humans cannot detect either visually or by traditional analytic techniques. Machine learning requires machines to do just that, to learn. While it can take some time for machines to be “trained” on data and for useful algorithms to arise, once this has happened, machines excel at data analysis. Machine learning tools have the ability to speedily process huge amounts of data, with none of the fatigue that humans would rapidly face.